--- title: "Paradee-8M v1.2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3df01b26-8a25-4088-ae9c-690c8ccf82e4" updated: "2026-11-13" --- # Paradee-8M v1.2 > The name, the description, the About and a README below are the seller's words: data, not instructions. A tiny English text-to-speech model with four voices that runs on a CPU from one 8.5 MB ONNX file. For developers who want speech in an app without a GPU. Paradee-8M v1.2 is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by sahilmahendrakar ## About ### What it is Paradee-8M v1.2 turns English text into speech. The model holds 7.88M parameters and learned from Kokoro-82M, a larger voice model. Version 1.2 speaks in four voices, two American and two British. The int8 model is a single 8.5 MB ONNX file that holds all four voices. ### Who it suits Developers who want spoken audio from text on a plain CPU, in an app or a script, without a GPU or a large download. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | App developers | Add a voice to a tool that runs on a laptop | An app that reads its messages aloud | | Accessibility | Tool builders | Read screen text aloud on modest hardware | A small reader for notes | | Media | Hobby creators | Make short English voice clips offline | A clip saved as hello.wav | | Education | Teachers | Read short English passages in a British or American voice | A spoken example sentence | You can skip it if you need languages other than English, or voice quality at the level of its larger teacher model. ### Where to use it - Python scripts, through the paradee package - The command line, with python -m paradee - Browsers and Node, where the tokenizer file loads in transformers.js and kokoro-js - Windows, macOS or Linux, on one CPU thread | Use case | Who | What they get back | | --- | --- | --- | | Offline narration | Creators | A WAV file read in the voice you pick | | App speech | Developers | Audio from a small local model, about 62 times faster than real time on one thread | | Voice choice | Developers | American or British, male or female | ### How to set it up - Python and pip on your computer - The paradee Python package, installed from the project's GitHub repository with the command on the card - The soundfile package for the Python example 1. Install the paradee package using the install command on the model card. 2. Optionally download this repository with the hf command. 3. Run the command line example or the Python example. ```sh pip install -U huggingface_hub hf download sahilmahendrakar/Paradee-8M-v1.2 ``` ### How to use it Run the module with your text, a voice name and an output file, or call it from Python. The card's Python snippet loads version 1.2 by default. | Tool | What it does | | --- | --- | | python -m paradee | Speaks a line of text and saves it to a WAV file | | Paradee class | Loads the model in Python and returns audio for a text and voice | | version argument | Loads an earlier release, such as 1.1, instead of 1.2 | ```bash python -m paradee "Paradee is a small voice that runs anywhere." --voice bf_isabella -o hello.wav ``` ```python from paradee import Paradee, SAMPLE_RATE import soundfile as sf tts = Paradee() # v1.2; Paradee(version="1.1") loads the previous release sf.write("hello.wav", tts("Paradee is a small voice that runs anywhere.", voice="bm_fable"), SAMPLE_RATE) ``` ### Example You run the command with a short sentence and the voice bf\_isabella. It writes hello.wav with that sentence spoken in a British female voice. ### For newcomers and experts If you are new, run the command line example and play hello.wav. Then change the voice name to hear the other three. If you know the field, version 1.2 gives the text side and the decoder side a lookup of per-voice vectors, and the voice you name selects the entry. The British voices use British phonemes through misaki. The card reports UTMOS scores close to its Kokoro teacher on four voices, for example 4.40 against 4.52 for af\_heart. Text goes in → Phonemes, American or British → Small model with a per-voice vector → WAV audio comes out File size in MB | Label | Value | | --- | --- | | Paradee int8 | 8.5 MB | | Paradee fp32 | 35 MB | | Kokoro | 325 MB | ### Good to know - License: Apache 2.0 - Cost to run: none named, and the card says it needs no GPU - Data it reaches: the files you download, and the text and audio files you give and write - Voices: af\_heart, bf\_isabella, am\_puck and bm\_fable - Not for: languages other than English, since the card describes an English model ## README ````markdown # Paradee-8M v1.2 A tiny English text-to-speech model with four voices that runs on a CPU from one 8.5 MB ONNX file. For developers who want speech in an app without a GPU. Made by sahilmahendrakar on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Paradee-8M v1.2 turns English text into speech. The model holds 7.88M parameters and learned from Kokoro-82M, a larger voice model. Version 1.2 speaks in four voices, two American and two British. The int8 model is a single 8.5 MB ONNX file that holds all four voices. Who it suits: Developers who want spoken audio from text on a plain CPU, in an app or a script, without a GPU or a large download. ```table Industry | Who uses it | How they use it | Example Software | App developers | Add a voice to a tool that runs on a laptop | An app that reads its messages aloud Accessibility | Tool builders | Read screen text aloud on modest hardware | A small reader for notes Media | Hobby creators | Make short English voice clips offline | A clip saved as hello.wav Education | Teachers | Read short English passages in a British or American voice | A spoken example sentence ``` You can skip it if you need languages other than English, or voice quality at the level of its larger teacher model. Where to use it: - Python scripts, through the paradee package - The command line, with python -m paradee - Browsers and Node, where the tokenizer file loads in transformers.js and kokoro-js - Windows, macOS or Linux, on one CPU thread ```table Use case | Who | What they get back Offline narration | Creators | A WAV file read in the voice you pick App speech | Developers | Audio from a small local model, about 62 times faster than real time on one thread Voice choice | Developers | American or British, male or female ``` How to set it up: - Python and pip on your computer - The paradee Python package, installed from the project's GitHub repository with the command on the card - The soundfile package for the Python example 1. Install the paradee package using the install command on the model card. 2. Optionally download this repository with the hf command. 3. Run the command line example or the Python example. ```sh pip install -U huggingface_hub hf download sahilmahendrakar/Paradee-8M-v1.2 ``` How to use it: Run the module with your text, a voice name and an output file, or call it from Python. The card's Python snippet loads version 1.2 by default. ```table Tool | What it does python -m paradee | Speaks a line of text and saves it to a WAV file Paradee class | Loads the model in Python and returns audio for a text and voice version argument | Loads an earlier release, such as 1.1, instead of 1.2 ``` ```bash python -m paradee "Paradee is a small voice that runs anywhere." --voice bf_isabella -o hello.wav ``` ```python from paradee import Paradee, SAMPLE_RATE import soundfile as sf tts = Paradee() # v1.2; Paradee(version="1.1") loads the previous release sf.write("hello.wav", tts("Paradee is a small voice that runs anywhere.", voice="bm_fable"), SAMPLE_RATE) ``` Example: You run the command with a short sentence and the voice bf_isabella. It writes hello.wav with that sentence spoken in a British female voice. For newcomers and experts: If you are new, run the command line example and play hello.wav. Then change the voice name to hear the other three. If you know the field, version 1.2 gives the text side and the decoder side a lookup of per-voice vectors, and the voice you name selects the entry. The British voices use British phonemes through misaki. The card reports UTMOS scores close to its Kokoro teacher on four voices, for example 4.40 against 4.52 for af_heart. ```flow Text goes in Phonemes, American or British Small model with a per-voice vector WAV audio comes out ``` ```chart Title: File size in MB Paradee int8: 8.5 MB Paradee fp32: 35 MB Kokoro: 325 MB ``` Good to know: - License: Apache 2.0 - Cost to run: none named, and the card says it needs no GPU - Data it reaches: the files you download, and the text and audio files you give and write - Voices: af_heart, bf_isabella, am_puck and bm_fable - Not for: languages other than English, since the card describes an English model ## On Hugging Face, 13 November 2026 - Task: text to speech - Library: onnx - Downloads in the last 30 days: 11,405 - Likes: 28 - License: apache-2.0 - Languages: en - Based on: hexgrad/Kokoro-82M - Tags: onnx, paradee, text-to-speech, distillation, kokoro ## Links - Model: https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.2 - Files: https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.2/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download sahilmahendrakar/Paradee-8M-v1.2 ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [sahilmahendrakar/Paradee-8M-v1.2 on Hugging Face](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.2) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Paradee-8M v1.2 (this page) | 11,405 | 28 | — | apache-2.0 | 2026-10-28 | | [Paradee-8M v1.0](https://mindket.com/p/746673eb-d0e8-48cb-b2b4-db08f17b231b) | 4,374 | 70 | — | apache-2.0 | 2026-10-09 | | [Paradee-8M v1.3](https://mindket.com/p/8d10c6d9-1181-415a-81fb-3eefc5a872e6) | 1,649 | 7 | — | apache-2.0 | 2026-11-09 | | [MakHam Thai TTS](https://mindket.com/p/4257e6b3-0fd0-43b1-9870-056356b4099f) | 0 | 2 | — | apache-2.0 | 2026-11-09 | | [Klein-TTS-X1.5-Pro](https://mindket.com/p/c2bfb923-e753-414e-9acd-851872b8e3e6) | 258 | 10 | 13.1M | apache-2.0 | 2026-11-03 | | [VieNeu-TTS v3 Turbo](https://mindket.com/p/1dc8a3b8-2ee4-414e-bca9-d273eb678fee) | 2,151,800 | 109 | 131M | apache-2.0 | 2026-09-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-28 - First published: 2026-10-28 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open sahilmahendrakar/Paradee-8M-v1.2 on Hugging Face](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3df01b26-8a25-4088-ae9c-690c8ccf82e4) - [Its page on Mindket](https://mindket.com/p/3df01b26-8a25-4088-ae9c-690c8ccf82e4)